基于MATLAB实现的内点法进行最优潮流计算的程序，可以修改目标函数来进行其他不同条件下的最优潮流计算+使用说明文档.zip

30 1 3 1.0 0 0 0 0 0 1.1 0.9 0 2 2 1.0 0 0.217 0.127 0 0 1.1 0.9 0 3 1 1.0 0 0.024 0.012 0 0 1.1 0.9 0 4 1 1.0 0 0.076 0.016 0 0 1.1 0.9 0 5 2 1.0 0 0.942 0.190 0 0 1.1 0.9 0 6 1 1.0 0 0 0 0 0 1.1 0.9 0 7 1 1.0 0 0.228 0.109 0 0 1.1 0.9 0 8 2 1.0 0 0.300 0.300 0 0 1.1 0.9 0 9 1 1.0 0 0 0 0 0 1.1 0.9 0 10 1 1.0 0 0.058 0.020 0 0 1.1 0.9 0.19 11 2 1.0 0 0 0 0 0 1.1 0.9 0 12 1 1.0 0 0.112 0.075 0 0 1.1 0.9 0 13 2 1.0 0 0 0 0 0 1.1 0.9 0 14 1 1.0 0 0.062 0.016 0 0 1.1 0.9 0 15 1 1.0 0 0.082 0.025 0 0 1.1 0.9 0 16 1 1.0 0 0.035 0.018 0 0 1.1 0.9 0 17 1 1.0 0 0.090 0.058 0 0 1.1 0.9 0 18 1 1.0 0 0.032 0.009 0 0 1.1 0.9 0 19 1 1.0 0 0.095 0.034 0 0 1.1 0.9 0 20 1 1.0 0 0.022 0.007 0 0 1.1 0.9 0 21 1 1.0 0 0.175 0.112 0 0 1.1 0.9 0 22 1 1.0 0 0 0 0 0 1.1 0.9 0 23 1 1.0 0 0.032 0.016 0 0 1.1 0.9 0 24 1 1.0 0 0.087 0.067 0 0 1.1 0.9 0.043 25 1 1.0 0 0 0 0 0 1.1 0.9 0 26 1 1.0 0 0.035 0.023 0 0 1.1 0.9 0 27 1 1.0 0 0 0 0 0 1.1 0.9 0 28 1 1.0 0 0 0 0 0 1.1 0.9 0 29 1 1.0 0 0.024 0.009 0 0 1.1 0.9 0 30 1 1.0 0 0.106 0.019 0 0 1.1 0.9 0 41 1 1 2 0.0192 0.0575 0.0264 0 1.30 2 1 3 0.0452 0.1652 0.0204 0 1.30 3 2 4 0.0570 0.1737 0.0184 0 0.65 4 3 4 0.0132 0.0379 0.0042 0 1.30 5 2 5 0.0472 0.1983 0.0209 0 0.65 6 2 6 0.0581 0.1763 0.0187 0 0.65 7 4 6 0.0119 0.0414 0.0045 0 0.90 8 5 7 0.0460 0.1160 0.0102 0 0.70 9 6 7 0.0267 0.0820 0.0085 0 1.30 10 6 8 0.0120 0.0420 0.0045 0 0.32 11 9 11 0 0.2080 0 0 0.65 12 12 13 0 0.1400 0 0 0.65 13 12 14 0.1231 0.2559 0 0 0.32 14 12 15 0.0662 0.1304 0 0 0.32 15 12 16 0.0945 0.1987 0 0 0.32 16 14 15 0.2210 0.1997 0 0 0.16 17 16 17 0.0524 0.1923 0 0 0.16 18 15 18 0.1073 0.2185 0 0 0.16 19 18 19 0.0639 0.1292 0 0 0.16 20 19 20 0.0340 0.0680 0 0 0.32 21 10 20 0.0936 0.2090 0 0 0.32 22 10 17 0.0324 0.0845 0 0 0.32 23 10 21 0.0348 0.0749 0 0 0.32 24 10 22 0.0727 0.1499 0 0 0.32 25 21 22 0.0116 0.0236 0 0 0.32 26 15 23 0.1000 0.2020 0 0 0.16 27 22 24 0.1150 0.1790 0 0 0.16 28 23 24 0.1320 0.2700 0 0 0.16 29 24 25 0.1885 0.3292 0 0 0.16 30 25 26 0.2544 0.3800 0 0 0.16 31 25 27 0.1093 0.2087 0 0 0.16 32 27 29 0.2198 0.4153 0 0 0.16 33 27 30 0.3202 0.6027 0 0 0.16 34 29 30 0.2399 0.4533 0 0 0.16 35 8 28 0.0636 0.2000 0.0214 0 0.32 36 6 28 0.0169 0.0599 0.0065 0 0.32 37 9 10 0 0.1100 0 0 0.65 38 6 9 0 0.2080 0 0.978 0.32 39 6 10 0 0.5560 0 0.969 0.65 40 4 12 0 0.2560 0 0.932 0.65 41 28 27 0 0.3960 0 0.968 0.65 6 1 1 2 0.5 0.1 -0.5 75 200 0 2 2 0.8 0.6 0.1 -0.4 350 175 0 3 5 0.5 0.4 0.1 -0.4 125 100 0 4 8 0.35 0.4 0.1 -0.1 167 325 0 5 11 0.5 0.24 0.1 -0.06 50 300 0 6 13 0.6 0.24 0.1 -0.06 50 300 0 1 1.06 0 0.9877 -0.0649 2 1.045 -1.8520 0.8000 0.4171 3 1.0207 -3.7907 0 0 4 1.0135 -4.5219 0 0 5 1.01 -6.5046 0.5000 0.357 6 1.011 -5.3552 0 0 7 1.0026 -6.3585 0 0 8 1.01 -5.6428 0.2000 0.2931 9 1.0375 -6.7603 0 0 10 1.0339 -8.6787 0 0 11 1.05 -4.5718 0 0.161 12 1.0458 -7.7906 0 0 13 1.05 -6.3295 0.2000 0.0337 14 1.031 -8.7295 0 0 15 1.0263 -8.8540 0 0 16 1.0335 -8.4445 0 0 17 1.0284 -8.8208 0 0 18 1.0167 -9.5024 0 0 19 1.0142 -9.6921 0 0 20 1.0183 -9.4974 0 0 21 1.0216 -9.1597 0 0 22 1.0222 -9.1544 0 0 23 1.016 -9.3486 0 0 24 1.0108 -9.6578 0 0 25 1.0093 -9.6602 0 0 26 0.9915 -10.0866 0 0 27 1.0171 -9.3952 0 0 28 1.0069 -5.8249 0 0 29 0.9972 -10.6403 0 0 30 0.9856 -11.5344 0 0